Youth-onset atherosclerotic vascular disease imposes a nontrivial health and economic burden because events strike during prime years of education, work, and caregiving. Using the Global Burden of Disease 2021 platform, this analysis focuses on ages 15-39 to characterize ischemic heart disease and ischemic stroke through standard metrics of incidence, mortality, and disability-adjusted life years, with attention to the comparative contribution of modifiable risks. Emphasis is placed on age-standardized rates and uncertainty intervals to enable comparisons across regions and time.

The framework integrates cause-of-death data, cancer and cardiovascular registries, household surveys, and cohort inputs to resolve trends by sex, age bin, and geography. A comparative risk assessment quantifies the proportion of burden attributable to exposures such as blood pressure, lipids, adiposity, and environmental and behavioral risks. A concise summary of methods and findings is available via PubMed (https://pubmed.ncbi.nlm.nih.gov/41098084/), and the sections below detail metrics, regional heterogeneity, risk attribution, and implications for practice and policy.

In this article

Global patterns and metrics in youth ischemic vascular disease

Ischemic vascular disease in the 15-39 age group encompasses both premature coronary artery disease and stroke of ischemic origin. The analysis estimates incident events, deaths, and the composite disability-adjusted life years to capture both fatal and nonfatal consequences in a common currency. DALYs decompose into years of life lost because of premature mortality and years lived with disability representing post-event sequelae and chronic impairment. At younger ages, the YLD share is proportionally larger than in older cohorts because long-term survival with functional limitation is common. Yet single events still yield large YLLs given the long remaining life expectancy at event onset.

Scope, definitions, and endpoints

The cause definitions adhere to standard ICD mapping for ischemic heart disease and ischemic stroke, harmonized across revisions and geographies. Events are assigned by underlying cause for mortality and by clinical case definitions for nonfatal outcomes, including myocardial infarction, angina, and ischemic stroke subtypes where data allow. Estimates are reported as counts and as the age-standardized rate per 100,000 to control for demographic structure. Age standardization is essential when comparing countries with youthful versus aging populations. Endpoints include incidence, prevalence of sequelae, mortality, YLLs, YLDs, and DALYs, each accompanied by a uncertainty interval summarizing posterior variability.

Modeling pipeline and estimation strategy

The estimation workflow follows the Global Burden of Disease hierarchy. Cause-of-death fractions are derived from vital registration, verbal autopsy, and other sources with systematic bias corrections. Nonfatal outcomes draw on registries, hospital discharge data, and cohort studies to estimate incidence and prevalence, followed by severity modeling for disability weights. Covariates such as income, education, smoking prevalence, and metabolic risk distributions inform borrowing of strength across data-sparse settings. Cross-walking harmonizes case definitions and measurement differences across data sources and time.

For risk attribution, the platform uses a comparative risk assessment framework, quantifying population-attributable fractions for each exposure given relative risks and exposure distributions by age, sex, location, and year. The counterfactual is the theoretical minimum risk exposure level, as defined by epidemiologic consensus and dose-response evidence. Joint attribution accounts for mediation and overlapping pathways where established, avoiding simple summation of fractions beyond 100 percent. Risk-outcome pairs include high systolic blood pressure, high LDL cholesterol, adiposity, hyperglycemia, tobacco exposure, unhealthy diet, and ambient particulate matter for both ischemic heart disease and ischemic stroke, with alcohol use additionally relevant for ischemic stroke in some regions.

Uncertainty and age standardization

All outputs report medians with 95% uncertainty intervals, reflecting sampling error, model specification, and adjustments for underreporting and misclassification. Age-standardized estimates allow comparability across countries and years despite differing demographic structures. Analysts should interpret apparent increases in absolute counts alongside often stable or declining rates, given population growth and improved ascertainment. Where data are sparse or heterogeneous, intervals widen appropriately, and policy inference should weight both point estimates and the breadth of uncertainty.

Regional heterogeneity and temporal trends

Global patterns mask marked between-region differences that persist in youths and young adults. In many high-income settings, age-standardized mortality from ischemic heart disease and ischemic stroke in ages 15-39 has decreased over three decades, while absolute case counts often rose modestly with population growth. Some middle-income regions show slower declines or plateaus, and selected locations in South Asia, North Africa and Middle East, and parts of Eastern Europe demonstrate concerning stagnation or increases. These variations align with differential control of cardiometabolic risks, environmental exposures, and access to acute and preventive care.

Absolute burden vs age-standardized rates

Absolute counts and rates answer different questions and can move in opposite directions. Where demographic expansion is rapid, counts of events and DALYs can rise even when the rate per 100,000 falls. For policy, age-standardized rates benchmark progress relative to underlying population structure, while absolute counts are more relevant for service planning and capacity. A balanced appraisal considers both signals, noting that youths with ischemic events accrue many years of potential life lost and long-term disability, magnifying societal impact.

Mortality reductions often outpace declines in incidence in settings with improved reperfusion, antithrombotic therapy, and stroke unit care, shifting the burden toward chronic sequelae. As a result, the YLD component can become more prominent even as YLLs shrink. This shift is visible in the youth strata as well, especially where prehospital care and acute systems have strengthened. Conversely, where access remains limited, fatality rates in young adults can remain unacceptably high, sustaining a larger YLL fraction.

Contrasting IHD and ischemic stroke

There are shared atherosclerotic and thrombotic pathways across ischemic heart disease and ischemic stroke, but regional gradients differ. In several regions, declines in age-standardized ischemic heart disease mortality among youths have been more pronounced than for ischemic stroke, reflecting earlier adoption of lipid management and coronary care improvements relative to stroke systems of care. Elsewhere, stroke prevention has benefited from more aggressive blood pressure control campaigns and salt reduction policies, narrowing the gap. The balance between cardioembolic, large artery, and small vessel stroke subtypes also shapes young-onset patterns.

Environment and behavior intersect with risk architecture in ways that vary by locale. Tobacco exposure, elevated blood pressure, and hyperglycemia often track with urbanization and dietary shifts, while ambient particulate matter adds background risk in industrializing zones. Early-life exposures, including low birth weight and childhood growth trajectories, may influence cardiometabolic vulnerability in young adults. The net result is a mosaic in which similar age groups exhibit distinct risk profiles and outcome trajectories across regions.

Sex differences and age gradients

Sex-specific patterns remain important in the 15-39 cohort. Men typically exhibit higher rates of ischemic heart disease at younger ages, driven by greater exposure to tobacco and occupational hazards in many settings, while young women bear distinct risks during and after pregnancy, including hypertensive disorders that elevate later vascular risk. Event age gradients are steep within this band, with the 35-39 subgroup often showing a sharp rise relative to 15-24, emphasizing the need for earlier risk detection. Sex- and age-tailored interventions, from contraception-inclusive lipid and antihypertensive counseling to pregnancy risk screening, can improve equity and effectiveness.

Risk factor attribution and policy implications

Risk attribution clarifies targets for prevention that are both high impact and feasible across settings. For youth and young adults, high systolic blood pressure, LDL-related dyslipidemia, adiposity, and hyperglycemia feature prominently in attributable burden for both ischemic heart disease and ischemic stroke. Tobacco exposure remains influential in many regions, while ambient particulate matter contributes across the urbanizing world. Dietary patterns high in sodium and processed meats and low in whole grains, fruits, and omega-3s add risk, alongside insufficient physical activity. The relative rank ordering of risks varies by region and sex, but cardiometabolic risks consistently dominate.

Leading modifiable risks in ages 15-39

Early detection and control of hypertension is central to reducing youth-onset ischemic events, with clinic and out-of-office measurement strategies recommended for accurate classification. LDL lowering through diet and statin therapy in selected high-risk individuals addresses dyslipidemia central to atherogenesis. Lifestyle counseling and pharmacotherapy for weight reduction mitigate obesity-mediated risk pathways spanning insulin resistance, inflammation, and endothelial dysfunction. Glycemic control in type 2 diabetes further reduces vascular risk, with attention to agents conferring cardiovascular protection. Policies limiting youth access to tobacco and improving air quality are complementary levers.

Risk clustering is common by the late 20s to 30s, necessitating integrated cardiometabolic management rather than single-risk approaches. School- and workplace-based prevention, including dietary standards and physical activity promotion, can shift population distributions. Primary care systems that systematically screen for lipids, blood pressure, and glucose in young adults can identify high-risk individuals before the first event. For those with early atherosclerosis or established events, aggressive secondary prevention is warranted, recognizing the long horizon of risk accumulation.

Primary prevention and clinical translation

Clinical pathways should adapt to the epidemiology of youth-onset disease. Risk calculators often underestimate absolute short-term risk in younger adults, but high lifetime risk justifies earlier intervention when multiple risk factors are present. Family history, adverse pregnancy outcomes, and inflammatory conditions can refine risk assessment. Coronary calcium scoring and selective imaging may reclassify risk in borderline cases, though accessibility and radiation exposure should be considered. Community programs that couple behavioral support with access to healthy foods and safe spaces for activity amplify clinical counseling.

Acute care systems also influence burden by reducing case fatality and subsequent disability. Wider availability of reperfusion therapies, stroke units, and coordinated prehospital triage improves outcomes. Secondary prevention with antiplatelet therapy, statins, ACE inhibitors or ARBs, and smoking cessation support should be systematically delivered to young survivors. Rehabilitation and return-to-work services mitigate long-term disability and socioeconomic fallout, shrinking YLDs even when incidence does not rapidly decline. Equity-focused delivery models are essential to ensure benefits reach marginalized groups.

Data gaps and methodological limitations

Despite careful modeling, several limitations warrant caution. Vital registration incompleteness and heterogeneity in coding practices can bias mortality estimates, particularly in low-resource settings. Nonfatal data for young-onset ischemic stroke and coronary syndromes are sparser than for older adults, increasing reliance on covariates and smoothing. Exposure distributions for key risks in youths, including lipids and diet, are under-measured in many countries. Relative risk estimates in the youngest ages come from limited cohorts, and transportability assumptions may not fully hold, especially for stroke subtypes.

Methodological choices also shape interpretation. The selection of theoretical minimum risk exposure levels influences attributable fractions and should be considered when comparing across risk domains. Joint attribution requires assumptions about mediation and independence that may not capture all biological interactions. Time lags between exposure and event likely differ across risks and ages, and static models may blur these dynamics. Continued expansion of high-quality registries and standardized risk factor surveillance in adolescents and young adults will improve future estimates.

In synthesis, the youth burden of ischemic heart disease and ischemic stroke remains a significant and heterogeneous component of global cardiovascular health. Age-standardized rates have declined in many settings, yet absolute counts and DALYs often remain substantial, with cardiometabolic risks accounting for a large share of preventable burden. Strengthening primary prevention, improving acute and secondary care, and addressing environmental contributors can yield high lifetime returns. Investments in data systems and methodological refinement will sharpen targeting and evaluation. The comparative, uncertainty-aware lens used here supports nuanced, context-specific action for clinicians, health systems, and policymakers.

LSF-0776367098 | October 2025


How to cite this article

Team E. Global burden of youth ischemic heart disease and stroke. The Life Science Feed. Published November 11, 2025. Updated November 11, 2025. Accessed December 6, 2025. .

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References
  1. Global, regional, and national burden of ischemic heart disease and ischemic stroke and their risk factors in youths and young adults aged 15-39 years (1990-2021): a comparative analysis of risk factors from global burden of disease study 2021. 2025. https://pubmed.ncbi.nlm.nih.gov/41098084/.